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QuantSightBench: Evaluating LLM Quantitative Forecasting with Prediction Intervals

Stale3d agoPending verification refs / 4 sources / Verification pending
Viability
0.0/10

Compared to this week’s papers

Verification pending

Use This Via API or MCP

Use Signal Canvas as the narrative proof surface

Signal Canvas is the citation-first public layer for turning one paper into a structured commercialization narrative. Use it to hand off into REST, MCP, Build Loop, and launch-pack execution without losing source lineage.

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/quantsightbench-evaluating-llm-quantitative-forecasting-with-prediction-intervals

ready
Proof freshness
fresh
Proof status
unverified
Display score
7/10
Last proof check
2026-04-20
Score updated
2026-04-20
Score fresh until
2026-05-20
References
0
Source count
4
Coverage
67%

Page-specific freshness sourced from this paper's evidence receipt and score bundle.

Agent Handoff

QuantSightBench: Evaluating LLM Quantitative Forecasting with Prediction Intervals

Canonical ID quantsightbench-evaluating-llm-quantitative-forecasting-with-prediction-intervals | Route /signal-canvas/quantsightbench-evaluating-llm-quantitative-forecasting-with-prediction-intervals

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/quantsightbench-evaluating-llm-quantitative-forecasting-with-prediction-intervals

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "quantsightbench-evaluating-llm-quantitative-forecasting-with-prediction-intervals",
    "query_text": "Summarize QuantSightBench: Evaluating LLM Quantitative Forecasting with Prediction Intervals"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "QuantSightBench: Evaluating LLM Quantitative Forecasting with Prediction Intervals",
  "normalized_query": "2604.15859",
  "route": "/signal-canvas/quantsightbench-evaluating-llm-quantitative-forecasting-with-prediction-intervals",
  "paper_ref": "quantsightbench-evaluating-llm-quantitative-forecasting-with-prediction-intervals",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Signal Canvas receipt window

Ready for execution: QuantSightBench: Evaluating LLM Quantitative Forecasting with Prediction Intervals

/buildability/quantsightbench-evaluating-llm-quantitative-forecasting-with-prediction-intervals

Build Nowready

Subject: QuantSightBench: Evaluating LLM Quantitative Forecasting with Prediction Intervals

Verdict

Build Now

Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.

Time to first demo

Insufficient data

No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.

Compute envelope

Structured compute envelope

Insufficient data

No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.

Evidence ids

Receipt path

/buildability/quantsightbench-evaluating-llm-quantitative-forecasting-with-prediction-intervals

Paper ref

quantsightbench-evaluating-llm-quantitative-forecasting-with-prediction-intervals

arXiv id

2604.15859

Freshness

Generated at

2026-04-20T20:23:38.814Z

Evidence freshness

fresh

Last verification

2026-04-20T20:23:38.814Z

Sources

4

References

0

Coverage

67%

Hash state

Lineage hash

bd07e1df0b852eb352bacf28955d05127f069fcbe7f64fea592b7b7b6c3a96a3

Canonical opportunity-kernel lineage hash.

Signature state

External signature

unsigned_external

No founder, registry, pilot, or production-adoption signature is attached to this receipt.

Verification

not_verified

Verification is blocked until an external signature is provided.

Blockers

  • Missing: references
  • Missing: proof_status
  • Unknown: proof verification has not been recorded yet

Pending verification refs / 4 sources / Verification pending

references

proof_status

Missing proof, requirement, signature, approval, adoption, or telemetry fields are blockers and must not be inferred.

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

QuantSightBench: Evaluating LLM Quantitative Forecasting with Prediction Intervals

Overall score: 7/10
Lineage: bd07e1df0b85

Canonical Paper Receipt

Last verification: 2026-04-20T20:23:38.814Z

Freshness: fresh

Proof: unverified

Repo: active

References: 0

Sources: 4

Coverage: 67%

Missingness
  • - references
  • - proof_status
Unknowns
  • - proof verification has not been recorded yet

Preparing verified analysis

Dimensions overall score 7.0

GitHub Code Pulse

Stars
3
Health
C
Last commit
4/16/2026
Forks
0
Open repository

Claim map

No public claim map is available for this paper yet.

Author intelligence and commercialization panels stay hidden until the proof receipt is verified, cites at least 3 references, includes at least 2 sources, and clears 50% coverage. The paper narrative and citation surfaces remain public while verification is pending.

Startup potential card

Startup potential card preview

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